Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016

The dataset contains subsurface temperature measurements done at Lomonosovfonna, Svalbard, during April 2012 - 2016.All measurements are done at the site with coordinates: 78.8235 N, 17.432 E. The data is contained in four cells of a matlab structure containing data from installations deployed in Ap...

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Main Authors: Marchenko, Sergey, Pohjola, Veijo, Pettersson, Rickard
Format: Dataset
Language:unknown
Published: figshare 2019
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.8202098
https://figshare.com/articles/Subsurface_temperature_at_Lomonosovfonna_Svalbard_April_2012-2016/8202098
id ftdatacite:10.6084/m9.figshare.8202098
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic 40602 Glaciology
FOS Earth and related environmental sciences
spellingShingle 40602 Glaciology
FOS Earth and related environmental sciences
Marchenko, Sergey
Pohjola, Veijo
Pettersson, Rickard
Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016
topic_facet 40602 Glaciology
FOS Earth and related environmental sciences
description The dataset contains subsurface temperature measurements done at Lomonosovfonna, Svalbard, during April 2012 - 2016.All measurements are done at the site with coordinates: 78.8235 N, 17.432 E. The data is contained in four cells of a matlab structure containing data from installations deployed in April 2012 - cell 1, April 2013 - cell 2, April 2014 - cell 3 and April 2015 - cell 4. In 2012-2014 nine thermistor strings were installed in each year. The nine T-strings were arranged in a 3*3 square grid with a 3 m spacing between neighboring strings. In 2015 one t-string was installed.Hardware: Campbell Scientific CR10X data loggers in combination with several relay multiplexers (AM416 of AM16/32B) were used for temperature measurements. For that a reference temperature stable resistor (Rr Ohm) was connected is series with thermistors. Known excitation voltage (Ue) was supplied to the circuit and the voltage was measured (Um) at the leads of the reference resistor.The resistance of a thermistor (Rt) was then calculated as:Rt = Ue * Rr / Um - Rr.The resistance was then converted to temperature values provided by the manufacturer of thermistors. Technical information is contained in the variables: LF{N}.T.system. The raw temperature measurements along with the time stamps and depths are contained in the variables LF{N}.T.system.T_raw, LF{N}.T.system.t_raw and LF{N}.T.system.z_raw. After unpacking the data was subjected to the following post-processing steps:- delete data from sensors that were left above the snow surface- for the sensors installed in April 2013: delete data after 2013 July 12- reset temperature values outsides of the range [-40 +10] degC to NaN- for the sensors installed in April 2015: correct values from one of the sensors by linear interpolation in time between the following time points: 2015 November 15 02:00 and 2015 November 15 14:00, 2015 December 18 15:00 and 2015 December 19 21:00- introduce corrections to depths of sensors to match temperature distributions measured at different T-strings during the periods dominated by conductive heat exchange in the firn packcorrections are contained in the variable LF{N}.T.system.z_off and are given in meters.- delete data from sensors that are deemed erroneous. For the sensors installed in April 2012 that is: sensor 1 in T-string 9. For the sensors installed in April 2013 that is: sensors 1 and 2 in T-string 2, sensors 1-6 in T-string 3, sensors 1-6 in T-string 4, sensors 1-5 in T-string 5, sensors 1-7 in T-string 6. For the sensors installed in April 2014 that is: sensors 1 in T-string 1, sensor 1 in T-string 7, sensor 1 in T-string 9.- apply offsets for individual sensors defined as the mode during the time period, when the temperature is expected to be at 0 degC. For the sensors installed in April 2012 and 2015 that is the entire measurement period. For the sensors installed in April 2014 the periods are defined based on subjective data analysis and are different for individual sensors. For the sensors installed in April 2013 and some sensors installed in April 2014 the offsets are set to 0 degC. The applied temperature offsets are contained in the variables: LF{N}.T.system.off. The relation between the number of temperature values equal to the offset and the total number of values during the calibration time is saved in the variable LF{N}.T.system.f. After the above described post-processing steps the data was saved in the variable LF{N}.T.T (temperature values), LF{N}.T.z (depths of sensors) and LF{N}.T.t (time stamps). Data interpolated on a regular grid is contained in the variables: LF{N}.T.T_i (temperature values) and LF{N}.T.z_i (depth vectors).Data laterally averaged across all T-strings is contained in the variables: LF{N}.T.T_a (temperature values) and LF{N}.T.z_a (depth vectors).The standard deviation in interpolated temperature values belonging to the same depth but coming from different T-strings are contained in the variables LF{N}.T.T_sd. The data was used in the following publications:1) Marchenko, S., Cheng, G., Lötstedt, P., Pohjola, V., Pettersson, R., van Pelt, W., Reijmer, C., (2019). Thermal conductivity of firn at Lomonosovfonna, Svalbard, derived from subsurface temperature measurements, The Cryosphere Discussions, doi: 10.5194/tc-2018-294; 2) Marchenko, S., van Pelt, W., Claremar, B., Pohjola, V., Pettersson, R., Machguth, H., Reijmer, C., (2017). Parameterizing Deep Water Percolation Improves Subsurface Temperature Simulations by a Multilayer Firn Model, Frontiers in Earth Science, doi: 10.3389/feart.2017.00016; 3) Marchenko, S., Pohjola, V., Pettersson, R., van Pelt, W., Vega, C., Machguth, H., Bøggild C., Isaksson, E., (2017). A plot-scale study of firn stratigraphy at Lomonosovfonna, Svalbard, using ice cores, borehole video and GPR surveys in 2012-14, Journal of Glaciology, doi: 10.1017/jog.2016.118;
format Dataset
author Marchenko, Sergey
Pohjola, Veijo
Pettersson, Rickard
author_facet Marchenko, Sergey
Pohjola, Veijo
Pettersson, Rickard
author_sort Marchenko, Sergey
title Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016
title_short Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016
title_full Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016
title_fullStr Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016
title_full_unstemmed Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016
title_sort subsurface temperature at lomonosovfonna, svalbard, april 2012-2016
publisher figshare
publishDate 2019
url https://dx.doi.org/10.6084/m9.figshare.8202098
https://figshare.com/articles/Subsurface_temperature_at_Lomonosovfonna_Svalbard_April_2012-2016/8202098
long_lat ENVELOPE(17.663,17.663,78.774,78.774)
ENVELOPE(35.717,35.717,-71.250,-71.250)
geographic Lomonosovfonna
Svalbard
Van Pelt
geographic_facet Lomonosovfonna
Svalbard
Van Pelt
genre Svalbard
genre_facet Svalbard
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.8202098
_version_ 1766213183538724864
spelling ftdatacite:10.6084/m9.figshare.8202098 2023-05-15T18:29:48+02:00 Subsurface temperature at Lomonosovfonna, Svalbard, April 2012-2016 Marchenko, Sergey Pohjola, Veijo Pettersson, Rickard 2019 https://dx.doi.org/10.6084/m9.figshare.8202098 https://figshare.com/articles/Subsurface_temperature_at_Lomonosovfonna_Svalbard_April_2012-2016/8202098 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 40602 Glaciology FOS Earth and related environmental sciences dataset Dataset 2019 ftdatacite https://doi.org/10.6084/m9.figshare.8202098 2021-11-05T12:55:41Z The dataset contains subsurface temperature measurements done at Lomonosovfonna, Svalbard, during April 2012 - 2016.All measurements are done at the site with coordinates: 78.8235 N, 17.432 E. The data is contained in four cells of a matlab structure containing data from installations deployed in April 2012 - cell 1, April 2013 - cell 2, April 2014 - cell 3 and April 2015 - cell 4. In 2012-2014 nine thermistor strings were installed in each year. The nine T-strings were arranged in a 3*3 square grid with a 3 m spacing between neighboring strings. In 2015 one t-string was installed.Hardware: Campbell Scientific CR10X data loggers in combination with several relay multiplexers (AM416 of AM16/32B) were used for temperature measurements. For that a reference temperature stable resistor (Rr Ohm) was connected is series with thermistors. Known excitation voltage (Ue) was supplied to the circuit and the voltage was measured (Um) at the leads of the reference resistor.The resistance of a thermistor (Rt) was then calculated as:Rt = Ue * Rr / Um - Rr.The resistance was then converted to temperature values provided by the manufacturer of thermistors. Technical information is contained in the variables: LF{N}.T.system. The raw temperature measurements along with the time stamps and depths are contained in the variables LF{N}.T.system.T_raw, LF{N}.T.system.t_raw and LF{N}.T.system.z_raw. After unpacking the data was subjected to the following post-processing steps:- delete data from sensors that were left above the snow surface- for the sensors installed in April 2013: delete data after 2013 July 12- reset temperature values outsides of the range [-40 +10] degC to NaN- for the sensors installed in April 2015: correct values from one of the sensors by linear interpolation in time between the following time points: 2015 November 15 02:00 and 2015 November 15 14:00, 2015 December 18 15:00 and 2015 December 19 21:00- introduce corrections to depths of sensors to match temperature distributions measured at different T-strings during the periods dominated by conductive heat exchange in the firn packcorrections are contained in the variable LF{N}.T.system.z_off and are given in meters.- delete data from sensors that are deemed erroneous. For the sensors installed in April 2012 that is: sensor 1 in T-string 9. For the sensors installed in April 2013 that is: sensors 1 and 2 in T-string 2, sensors 1-6 in T-string 3, sensors 1-6 in T-string 4, sensors 1-5 in T-string 5, sensors 1-7 in T-string 6. For the sensors installed in April 2014 that is: sensors 1 in T-string 1, sensor 1 in T-string 7, sensor 1 in T-string 9.- apply offsets for individual sensors defined as the mode during the time period, when the temperature is expected to be at 0 degC. For the sensors installed in April 2012 and 2015 that is the entire measurement period. For the sensors installed in April 2014 the periods are defined based on subjective data analysis and are different for individual sensors. For the sensors installed in April 2013 and some sensors installed in April 2014 the offsets are set to 0 degC. The applied temperature offsets are contained in the variables: LF{N}.T.system.off. The relation between the number of temperature values equal to the offset and the total number of values during the calibration time is saved in the variable LF{N}.T.system.f. After the above described post-processing steps the data was saved in the variable LF{N}.T.T (temperature values), LF{N}.T.z (depths of sensors) and LF{N}.T.t (time stamps). Data interpolated on a regular grid is contained in the variables: LF{N}.T.T_i (temperature values) and LF{N}.T.z_i (depth vectors).Data laterally averaged across all T-strings is contained in the variables: LF{N}.T.T_a (temperature values) and LF{N}.T.z_a (depth vectors).The standard deviation in interpolated temperature values belonging to the same depth but coming from different T-strings are contained in the variables LF{N}.T.T_sd. The data was used in the following publications:1) Marchenko, S., Cheng, G., Lötstedt, P., Pohjola, V., Pettersson, R., van Pelt, W., Reijmer, C., (2019). Thermal conductivity of firn at Lomonosovfonna, Svalbard, derived from subsurface temperature measurements, The Cryosphere Discussions, doi: 10.5194/tc-2018-294; 2) Marchenko, S., van Pelt, W., Claremar, B., Pohjola, V., Pettersson, R., Machguth, H., Reijmer, C., (2017). Parameterizing Deep Water Percolation Improves Subsurface Temperature Simulations by a Multilayer Firn Model, Frontiers in Earth Science, doi: 10.3389/feart.2017.00016; 3) Marchenko, S., Pohjola, V., Pettersson, R., van Pelt, W., Vega, C., Machguth, H., Bøggild C., Isaksson, E., (2017). A plot-scale study of firn stratigraphy at Lomonosovfonna, Svalbard, using ice cores, borehole video and GPR surveys in 2012-14, Journal of Glaciology, doi: 10.1017/jog.2016.118; Dataset Svalbard DataCite Metadata Store (German National Library of Science and Technology) Lomonosovfonna ENVELOPE(17.663,17.663,78.774,78.774) Svalbard Van Pelt ENVELOPE(35.717,35.717,-71.250,-71.250)